Mingyi Shi
Impact in
-
- Regulation of Appetite and Obesity
-
- Neuropeptides and Animal Physiology
Papers in
-
- Neuropeptides and Animal Physiology 34
-
- Regulation of Appetite and Obesity 21
- Co-authors
- Penghua Fang (38 shared papers)Zhenwen Zhang (35 shared papers)Ping Bo (28 shared papers)Mei Yu (19 shared papers)Yan Zhu (20 shared papers)Lili Guo (13 shared papers)Guangzhi Li (4 shared papers)Ling Zhang (4 shared papers)
In The Last Decade
Mingyi Shi
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Endocrine and Autonomic Systems 385
- Cellular and Molecular Neuroscience 586
- Pharmacology 196
- Reproductive Medicine 88
- Endocrinology, Diabetes and Metabolism 158
Countries citing papers authored by Mingyi Shi
This map shows the geographic impact of Mingyi Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingyi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyi Shi more than expected).
Fields of papers citing papers by Mingyi Shi
This network shows the impact of papers produced by Mingyi Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingyi Shi. The network helps show where Mingyi Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyi Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 64 | |
| 2 | 2011 | 63 | |
| 3 | 2017 | 58 | |
| 4 | 2019 | 56 | |
| 5 | 2012 | 52 | |
| 6 | 2011 | 49 | |
| 7 | 2011 | 48 | |
| 8 | 2019 | 45 | |
| 9 | 2012 | 42 | |
| 10 | 2012 | 35 | |
| 11 | 2011 | 32 | |
| 12 | 2009 | 32 | |
| 13 | 2014 | 31 | |
| 14 | 2015 | 30 | |
| 15 | 2018 | 28 | |
| 16 | 2013 | 26 | |
| 17 | 2015 | 24 | |
| 18 | 2014 | 24 | |
| 19 | 2018 | 22 | |
| 20 | 2017 | 22 |
About Mingyi Shi
Mingyi Shi is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Molecular Biology, Surgery and Physiology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (34 papers), Regulation of Appetite and Obesity (21 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (12 papers), Receptor Mechanisms and Signaling (11 papers), Adipose Tissue and Metabolism (7 papers), Metabolism, Diabetes, and Cancer (4 papers), Apelin-related biomedical research (4 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (385 citations), Cellular and Molecular Neuroscience (586 citations), Pharmacology (196 citations), Reproductive Medicine (88 citations) and Endocrinology, Diabetes and Metabolism (158 citations). Mingyi Shi has collaborated with scholars based in China and Sweden. Frequent co-authors include Penghua Fang, Zhenwen Zhang, Ping Bo, Mei Yu, Yan Zhu, Lili Guo, Guangzhi Li, Ling Zhang, Yinping Ma and Bo Ping. Their work appears in journals such as Peptides, Experimental Gerontology, Pharmacology Biochemistry and Behavior, Cellular Physiology and Biochemistry and Molecular and Cellular Endocrinology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.